Statistical eye model for normal eyes

Rozema, Jos J., Atchison, David A., & Tassignon, Marie-José (2011) Statistical eye model for normal eyes. Investigative Ophthalmology and Visual Science, 52(7), pp. 4525-4533.

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Purpose. To create a binocular statistical eye model based on previously measured ocular biometric data.

Methods. Thirty-nine parameters were determined for a group of 127 healthy subjects (37 male, 90 female; 96.8% Caucasian) with an average age of 39.9 ± 12.2 years and spherical equivalent refraction of −0.98 ± 1.77 D. These parameters described the biometry of both eyes and the subjects' age. Missing parameters were complemented by data from a previously published study. After confirmation of the Gaussian shape of their distributions, these parameters were used to calculate their mean and covariance matrices. These matrices were then used to calculate a multivariate Gaussian distribution. From this, an amount of random biometric data could be generated, which were then randomly selected to create a realistic population of random eyes.

Results. All parameters had Gaussian distributions, with the exception of the parameters that describe total refraction (i.e., three parameters per eye). After these non-Gaussian parameters were omitted from the model, the generated data were found to be statistically indistinguishable from the original data for the remaining 33 parameters (TOST [two one-sided t tests]; P < 0.01). Parameters derived from the generated data were also significantly indistinguishable from those calculated with the original data (P > 0.05). The only exception to this was the lens refractive index, for which the generated data had a significantly larger SD.

Conclusions. A statistical eye model can describe the biometric variations found in a population and is a useful addition to the classic eye models.

Impact and interest:

15 citations in Scopus
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14 citations in Web of Science®

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ID Code: 49203
Item Type: Journal Article
Refereed: Yes
Keywords: Statistical eye model, ocular biometry
DOI: 10.1167/iovs.10-6705
ISSN: 0146-0404
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Optometry & Vision Science
Copyright Owner: Copyright © 2011 IOVS.
Deposited On: 20 Mar 2012 04:25
Last Modified: 15 Apr 2015 16:33

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